open source LLM observability - AI tools

Laminar is an open-source platform that enables developers to trace, evaluate, label, and analyze Large Language Model (LLM) applications with minimal code integration.

• Freemium
• From 25$

Phoenix accelerates AI development with powerful insights, allowing seamless evaluation, experimentation, and optimization of AI applications in real time.

• Freemium

TruEra offers an AI observability and diagnostics platform to monitor and improve the quality of machine learning models. It aids in building trustworthy AI solutions across various industries.

• Contact for Pricing

Langfuse provides an open-source platform for tracing, evaluating, and managing prompts to debug and improve LLM applications.

• Freemium
• From 59$

OpenLIT is an open-source observability platform designed to streamline AI development workflows, particularly for Generative AI and LLMs, offering features like prompt management, performance tracking, and secure secrets management.

• Other

Inferable is a fully managed platform for building and deploying LLM-based applications. It provides robust tools for managing state, ensuring reliability, and orchestrating custom AI workflows.

• Usage Based
• From 10$

MLflow is an open-source, end-to-end MLOps platform for building better models and generative AI apps. It simplifies complex ML and generative AI projects, offering comprehensive management from development to production.

• Free

Superpipe is an open-source experimentation platform designed for building, evaluating, and optimizing Large Language Model (LLM) pipelines to improve accuracy and minimize costs. It allows deployment on user infrastructure for enhanced privacy and security.

• Free

LangWatch empowers AI teams to ship 10x faster with quality assurance at every step. It provides tools to measure, maximize, and easily collaborate on LLM performance.

• Paid
• From 59$